BERTO: Intent-Driven Network Time Series Forecasting via Natural Language Operator Preferences

ArXi:2512.05721v2 Announce Type: replace Traditional cellular traffic forecasting models are optimized for minimizing symmetric errors, leaving them indifferent to shifting operational priorities. To bridge this gap, we